PSCI - Data Visualization (Goodman)

From Data to Viz is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent the dataset.

When you customize reports or analyze data in your analytics tools, you can select a style or type of chart to display your data. There are eight styles you can use, depending on the data in your report: bar, column, line, area, doughnut, pie, summary, and table.

Data sets are most valuable when people can understand them. When done right, data visualization is a great way to display large amounts of information simply and intuitively. However, in order to ensure that visualizations are effective, it’s important to follow a few important standards and avoid a few all-too-common mistakes.

This article covers important things to consider when selecting colors for data visualizations.

This post illustrates some of the important things to consider when selecting colors to ensure that it is accessible for color blind readers.

Check to see whether your font and /or color choices are accessible for your readers.